Senior AI Integration Engineer

This is a fully remote position, open to applicants in Colombia.

📋 Description

• Create high-performance, secure, and production-ready API layers.

• Design custom Model Context Protocol (MCP) servers.

• Execute real-time data delivery services tailored for human applications and autonomous AI agents.

• Function at high throughput — managing thousands of requests each second.

• Develop integration layers that AI agents depend on.

⛳️ Requirements

• **Must-Have**

• Overall Experience: 8+ years in Backend Software Engineering, Distributed Systems Architecture, or Enterprise Platform Engineering.

• Resiliency Engineering: 4+ years designing mission-critical systems that require "four-nines" (99.99%) availability, robust traffic shaping, and self-healing capabilities.

• AI & Agentic Systems: 2+ years creating production-grade integration layers, semantic context gateways, or RAG endpoints utilized by LLMs and autonomous AI agents.

• Expertise in Advanced API Design & Context Optimization.

• Production-level expertise in one or more of the following: C# (.NET Core), Java, Python, or Node.js/TypeScript.

• Proficiency in Enterprise Scalability & Traffic Management.

• Expertise in Lock & Contention Mitigation (API & Database Tier).

• Knowledge in Hardened Security, Governance & AI Isolation.

• **Preferred Experience**

• Experience with GraphQL and dynamic JSON/gRPC filtering layers (zero-waste data fetching).

• Development of custom MCP servers for LLM context exposure.

• Merging heterogeneous schemas for LLM tool-calling (e.g., relational databases, analytics platforms like Pendo/Hotjar, observability tools).

• Implementation of semantic token-aware API pagination and streaming.

• Creation of context-aware gateways for conditional object graph hydration based on agent intent.

• Edge performance experience: CloudFront Functions, Lambda@Edge, HTTP/3, WebSockets.

• Familiarity with PostgreSQL and OpenSearch/Elasticsearch access layers with sub-millisecond caching.

• Experience with reactive streams and rate-limiting for Amazon MSK (Kafka), SQS, and HTTP endpoints.

• Knowledge of Circuit Breakers, Bulkheads, and Retry-with-Exponential-Backoff (Polly, Resilience4j, or equivalent).

• Experience with Amazon MemoryDB / Redis OSS / Valkey for rate limiters, session caches, and semantic query caching.

• Implementation of Optimistic Concurrency Control (OCC) via eTags/versions; Pessimistic Locking only where absolutely necessary.

• Understanding of CQRS to separate high-volume writes from intensive read queries in PostgreSQL.

• Asynchronous write delegation for high-contention API writes to Kafka/MSK.

• Knowledge of Zero Trust security: OAuth2, OIDC, mTLS, and AWS Lake Formation.

• Experience with security proxy layers over Amazon Bedrock (prompt injection filtering, PII redaction, API token quota enforcement).

• Proficiency in end-to-end API runtime tracing with OpenTelemetry (oTel) and Datadog.

🏝️ Benefits

• Option for remote work.

• 13 floating holidays.

• 15 vacation days per year upon completion.

• Positive working environment.